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CCHP and Reliability of Electricity Supply

2011· article· en· W2032629417 on OpenAlexaboutno aff
Yu Qi, Zhi Guo Liu, Gui Mei Song

Bibliographic record

VenueAdvanced materials research · 2011
Typearticle
Languageen
FieldEnergy
TopicPower Systems and Renewable Energy
Canadian institutionsnot available
Fundersnot available
KeywordsElectricityMains electricityReliability (semiconductor)Stand-alone power systemElectricity generationEnergy supplyElectricity retailingPower (physics)Mode (computer interface)EngineeringElectricity marketEnvironmental economicsEnvironmental scienceWaste managementEnvironmental engineeringDistributed generationRenewable energyElectrical engineeringEnergy (signal processing)Computer scienceEconomics

Abstract

fetched live from OpenAlex

Based on the retrospect of the catastrophic destroy upon electricity net in the ice disaster which happened in South China 2008 and the power failure in some places of America and Canada in 2003, and upon the analysis of the problems in electricity and gas supply in our country. The authors point out that adopting CCHP (Combined Cooling Heating & Power) system is an important measure which can improve the safety of electricity supply, and presents the scheme of cascade utilization of energy and the running mode in summer and winter. In addition, the paper also analyzes the advantages of the CCHP system to the reliability of electricity supply, and points out that developing CCHP system is mutual-beneficial for electricity power and gas supply.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.315
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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